Evaluation of the validity of large-scale serial sectioning TEM for three-dimensional reconstruction of rice mesophyll cells and chloroplasts

PROTOPLASMA ◽  
2022 ◽  
Author(s):  
Koji Yamane ◽  
Takao Oi ◽  
Mitsutaka Taniguchi
Keyword(s):  
Large Scale ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Serial Sectioning ◽  
Mesophyll Cells ◽  
Dimensional Reconstruction

scholarly journals Three-Dimensional Reconstruction of Serial Mouse Brain Sections: Solution for Flattening High-Resolution Large-Scale Mosaics

2011 ◽  
Vol 5 ◽  
Author(s):  
Monica L. Berlanga ◽  
Sébastien Phan ◽  
Eric A. Bushong ◽  
Stephanie Wu ◽  
Ohkyung Kwon ◽  
...  
Keyword(s):  
High Resolution ◽  
Mouse Brain ◽  
Large Scale ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Dimensional Reconstruction

Three-Dimensional Reconstruction of Single Input Image Based on Point Cloud

2021 ◽  
Vol 87 (7) ◽  
pp. 479-484
Author(s):  
Yu Hou ◽  
Ruifeng Zhai ◽  
Xueyan Li ◽  
Junfeng Song ◽  
Xuehan Ma ◽  
...  
Keyword(s):  
Point Cloud ◽  
Large Scale ◽  
Three Dimensional ◽  
Data Sets ◽  
Point Cloud Data ◽  
Three Dimensional Reconstruction ◽  
Data Set ◽  
Cloud Data ◽  
Dimensional Reconstruction ◽  
Institute Of Technology

Three-dimensional reconstruction from a single image has excellent future prospects. The use of neural networks for three-dimensional reconstruction has achieved remarkable results. Most of the current point-cloud-based three-dimensional reconstruction networks are trained using nonreal data sets and do not have good generalizability. Based on the Karlsruhe Institute of Technology and Toyota Technological Institute at Chicago ()data set of large-scale scenes, this article proposes a method for processing real data sets. The data set produced in this work can better train our network model and realize point cloud reconstruction based on a single picture of the real world. Finally, the constructed point cloud data correspond well to the corresponding three-dimensional shapes, and to a certain extent, the disadvantage of the uneven distribution of the point cloud data obtained by light detection and ranging scanning is overcome using the proposed method.

Three-dimensional reconstruction of large-scale scene based on depth camera

2020 ◽  
Vol 28 (1) ◽  
pp. 234-243
Author(s):  
刘东生 LIU Dong-sheng ◽  
陈建林 CHEN Jian-lin ◽  
费 点 FEI Dian ◽  
张之江 ZHANG Zhi-jiang
Keyword(s):  
Large Scale ◽  
Three Dimensional ◽  
Depth Camera ◽  
Three Dimensional Reconstruction ◽  
Dimensional Reconstruction

Large scale three-dimensional reconstruction of an entire Caenorhabditis elegans larva using AutoCUTS-SEM

2017 ◽  
Vol 200 (2) ◽  
pp. 87-96 ◽  
Author(s):  
Xixia Li ◽  
Gang Ji ◽  
Xi Chen ◽  
Wei Ding ◽  
Lei Sun ◽  
...  
Keyword(s):  
Caenorhabditis Elegans ◽  
Large Scale ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Dimensional Reconstruction
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